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scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy
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, information science, media, psychology, sociology, design, and human-computer interaction to explore critical challenges and develop innovative solutions. The department values diverse perspectives and methodologies
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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/aerodynamics for an overview of current activities and relevant scientific publications. It is the intention of the Aerodynamics group to further explore experimental techniques for aerodynamics, flight
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine
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: Presentation of the academic qualifications and/or diplomas, if applicable. Work plan: The work plan will focus on the development and application of machine learning and explainable artificial intelligence
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific